Pandas: Convert year and day of year into a single datetime column of a dataframe
Pandas Time Series: Exercise-12 with Solution
Write a Pandas program to convert year and day of year into a single datetime column of a dataframe.
Sample Solution:
Python Code :
import pandas as pd
data = {\
"year": [2002, 2003, 2015, 2018],
"day_of_the_year": [250, 365, 1, 140]
}
df = pd.DataFrame(data)
print("Original DataFrame:")
print(df)
df["combined"] = df["year"]*1000 + df["day_of_the_year"]
df["date"] = pd.to_datetime(df["combined"], format = "%Y%j")
print("\nNew DataFrame:")
print(df)
Sample Output:
Original DataFrame: year day_of_the_year 0 2002 250 1 2003 365 2 2015 1 3 2018 140 New DataFrame: year day_of_the_year combined date 0 2002 250 2002250 2002-09-07 1 2003 365 2003365 2003-12-31 2 2015 1 2015001 2015-01-01 3 2018 140 2018140 2018-05-20
Python Code Editor:
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Previous: Write a Pandas program to create a sequence of durations increasing by an hour.
Next: Write a Pandas program to create a series of Timestamps from a DataFrame of integer or string columns. Also create a series of Timestamps using specified columns.
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Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
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